code: def load_dict_checkpoint(checkpoint: Checkpoint) -> Dict[str, Any]:
      with checkpoint.as_directory() as checkpoint_dir:
          with open(
              os.path.join(checkpoint_dir, "data.pkl"), "rb"
          ) as f:
              return ray_pickle.load(f)
  
file_path: ray/python/ray/train/tests/util.py
imports: import contextlib
  import os
  import tempfile
  from typing import Any, Dict, Optional, Type
  import ray.cloudpickle
  from ray.train import Checkpoint
  from ray.train._internal.storage import StorageContext
label_desc: Use image node_id 2 for calling a global function with example usage: load_dict_checkpoint(checkpoint) and returns: ray_pickle